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GroupIM: A Mutual Information Maximization Framework for Neural Group Recomme...
We study the problem of making item recommendations to ephemeral groups, which comprise users who purchase very few (or no) items together. -
Multitask Representation Learning in Linear MDPs
The dataset is used for multitask representation learning in linear MDPs. It contains 80 different tasks, each with a different destination position, fire configuration, and... -
Prototypical Contrastive Learning
Self-supervised learning of pretext-invariant representations. -
Reachability Embeddings: Scalable Self-Supervised Representation Learning fro...
GPS trajectory dataset for learning task-agnostic feature representations of geographic locations from unlabeled GPS trajectories -
SELF-LABELLING VIA SIMULTANEOUS CLUSTERING AND REPRESENTATION LEARNING
Combining clustering and representation learning is one of the most promising approaches for unsupervised learning of deep neural networks. -
SimpleQuestion dataset for Wikidata
The dataset used in this paper is a reinforcement learning dataset, specifically the SimpleQuestion dataset, which contains questions answerable using Wikidata as the knowledge...
